DocumentCode
2379333
Title
A successive learning neuro control system shooting irregular moving object
Author
Hirota, Kaoru ; Tsurumaru, Takayuki ; Motegi, Atsusi ; Ohtani, Masayuki ; Yubazaki, Naoyosi ; Miyajima, Takasi
Author_Institution
Dept. of Syst. Control Eng., Hosei Univ., Tokyo, Japan
fYear
1993
fDate
3-5 Nov 1993
Firstpage
326
Lastpage
330
Abstract
A successive learning control system based on a neural network technique with a genetic algorithm has been developed to simulate a human real-time learning process. As an application experiment, a 3 degree-of-freedom arm robot shoots a ball equipped with a CCD camera at an irregular moving basket. Where the hitting rate is improved by the successive learning control and the final value was 23% in average, 40% in maximum
Keywords
learning systems; neurocontrollers; robots; CCD camera; genetic algorithm; hitting rate; human real-time learning process; irregular moving object; neural network technique; shooting; successive learning neuro control system; Cameras; Charge coupled devices; Charge-coupled image sensors; Control system synthesis; Control systems; Genetic algorithms; Humans; Neural networks; Real time systems; Robot vision systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Robot and Human Communication, 1993. Proceedings., 2nd IEEE International Workshop on
Conference_Location
Tokyo
Print_ISBN
0-7803-1407-7
Type
conf
DOI
10.1109/ROMAN.1993.367699
Filename
367699
Link To Document